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Multi-class Classification

Multi-class classification is a type of supervised learning where the goal is to assign an input to one of three or more distinct classes. Unlike binary classification (which has only two classes), multi-class classification handles multiple labels and uses algorithms like logistic regression, decision trees, random forests, SVMs, or neural networks to predict the correct category based on the features of the input data.

Papers

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Showing 151–200 of 903 papers

TitleStatusHype
Deep Sequence Models for Text Classification Tasks—0
Deep Transfer Learning for Brain Magnetic Resonance Image Multi-class Classification—0
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification—0
Detecting immune cells with label-free two-photon autofluorescence and deep learning—0
Diagnosis of Diabetic Retinopathy in Ethiopia: Before the Deep Learning based Automation—0
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data—0
A BERT-based Unsupervised Grammatical Error Correction Framework—0
Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages—0
A High Speed Multi-label Classifier based on Extreme Learning Machines—0
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography—0
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields—0
Adaptive Multinomial Matrix Completion—0
Decision-forest voting scheme for classification of rare classes in network intrusion detection—0
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling—0
A priori estimates for classification problems using neural networks—0
Decentralized Online Learning with Kernels—0
Deep Attention Model for Triage of Emergency Department Patients—0
Deep Learning-Based Intra Mode Derivation for Versatile Video Coding—0
Cognitive Radar Antenna Selection via Deep Learning—0
COFGA: Classification Of Fine-Grained Features In Aerial Images—0
A pragmatic approach to multi-class classification—0
200K+ Crowdsourced Political Arguments for a New Chilean Constitution—0
Collaborative Filtering and Multi-Label Classification with Matrix Factorization—0
Collaborative Wideband Spectrum Sensing and Scheduling for Networked UAVs in UTM Systems—0
A procedure for assessing of machine health index data prediction quality—0
Combining features on vertical ground reaction force signal analysis for multiclass diagnosing neurodegenerative diseases—0
Combining Task Predictors via Enhancing Joint Predictability—0
Comment on Is Complexity an Illusion?—0
Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification—0
Comparison of Decision Tree Based Classification Strategies to Detect External Chemical Stimuli from Raw and Filtered Plant Electrical Response—0
Comparison of Multi-Class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses—0
Competing Ratio Loss for Discriminative Multi-class Image Classification—0
ARGUABLY at ComMA@ICON: Detection of Multilingual Aggressive, Gender Biased, and Communally Charged Tweets Using Ensemble and Fine-Tuned IndicBERT—0
ComplAI: Theory of A Unified Framework for Multi-factor Assessment of Black-Box Supervised Machine Learning Models—0
Computer Aided Detection of Anemia-like Pallor—0
Armijo Line-search Can Make (Stochastic) Gradient Descent Provably Faster—0
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data—0
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables—0
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits—0
Confidence Prediction for Lexicon-Free OCR—0
A scalable stage-wise approach to large-margin multi-class loss based boosting—0
Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients—0
Consistency of semi-supervised learning algorithms on graphs: Probit and one-hot methods—0
Efficient Malicious UAV Detection Using Autoencoder-TSMamba Integration—0
Constrained Multi-Layer Contrastive Learning for Implicit Discourse Relationship Recognition—0
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure—0
Contrastive Learning for Fair Representations—0
CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks—0
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All datasetsCOVID-19 CXR DatasetCOVID chest X-rayReuters-52TII-SSRC-23Training and validation dataset of capsule vision 2024 challenge.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1COVID-CXNetAccuracy (%)94.2—Unverified
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1COVID-ResNetF1 score0.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SVM (tficf)Macro F173.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Extra TreesF1-Score93.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Multi-Model EnsembleMean AUC0.99—Unverified